Pin-Hao Cheng's Projects
Approaching (Almost) Any Machine Learning Problem
Python bindings for the apriltags3 library
Candlestick patterns detector
Cable-robot Analysis and Simulation Platform for Research Open-Source Software
This is the software package that goes with the second generation Craniobot developed in our group.
A HMI for the Craniobot Microsurgical Platform Developed by the Bio-Sensing and Bio-Robotics Laboratory at the University of Minnesota - Twin Cities
A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
A Deep Reinforcement Learning Framework for Stock Market Trading
FinancialVision
FinRL: The first open-source project for financial reinforcement learning. Please star. š„
FTX Sample Code
Visualization for Ultrasound Supported Biopsy
šš The LaTeX file that I used as the base for all my homework in university.
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
Pupil tracking code and example data for Meyer et al. Current Biology (2020)
Repo for MnQuants (personal) project.
Ph.D thesis template for the University of Minnesota, using modern LaTeX
A head-mounted camera system integrates detailed behavioral monitoring with multichannel electrophysiology in freely moving mice
Neuropixels trajectory explorer with the Allen CCF mouse atlas
OpenMV Camera Module
Contains the solutions to the algorithm problems on LeetCode. I will try to have them in both C & Python.
Config files for my GitHub profile.
Python CNC machine controller for Raspberry Pi and other ARM Linux boards
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.